Name: Delhi -NCR Real Estate Data
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Delhi -NCR Real Estate Data

Description

Welcome to the "Real Estate Market Insights: Magic Bricks Web Scraped Dataset" available on Kaggle! This comprehensive dataset provides a wealth of information on real estate properties extracted from the popular real estate portal, Magic Bricks. With this dataset, you can explore and analyze the dynamic and ever-changing landscape of the real estate market.

Dataset Overview:

This dataset comprises meticulously scraped data from Magic Bricks, a prominent platform for buying, selling, and renting real estate properties in various regions. The dataset is regularly updated to ensure it reflects the most current market conditions and trends.

Key Features:

Property Details: Gain access to a wide range of property details, including property type (apartment, house, commercial, etc.), location, size, and more.
Price Information: Explore property prices, including listing price, area-based pricing, and price trends.
Property Amenities: Discover the amenities and features associated with each property, from the number of bedrooms and bathrooms to parking availability and more.
Property Status: Determine whether a property is available for sale, rent, or lease.

Use Cases:

Market Analysis: Use this dataset to perform in-depth market analysis to understand price trends, property demand, and supply dynamics.
Investment Opportunities: Identify potential investment opportunities in different regions based on price trends and property types.
Location-Based Insights: Explore how property prices and amenities vary across different localities and cities.
Real Estate Research: Use this dataset for academic research, business strategies, or data-driven decision-making.

Data Collection Method:

The dataset was collected using web scraping techniques, ensuring that it captures a wide array of properties listed on the Magic Bricks platform. Data integrity and accuracy are maintained through regular updates and quality checks.

Data Format:

The dataset is provided in a CSV format, making it easy to import and analyze using various data analysis tools and programming languages.

Disclaimer:

Please note that this dataset is for research and analytical purposes only. It is advisable to verify the data with Magic Bricks or other reliable sources before making any real estate transactions or investment decisions.

Tables

Real Estate Main

@kaggle.luv00679_delhi_ncr_real_estate_data.real_estate_main

177.47 kB
2,345 rows
21 columns

CREATE TABLE real_estate_main (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "name" VARCHAR,
  "price" BIGINT,
  "rate" VARCHAR,
  "property" VARCHAR,
  "carpet_area" VARCHAR,
  "status" VARCHAR,
  "floor" VARCHAR,
  "transaction" VARCHAR,
  "facing" VARCHAR,
  "overlooking" VARCHAR,
  "ownership" VARCHAR,
  "parking" VARCHAR,
  "bathroom" DOUBLE,
  "balcony" DOUBLE,
  "city" VARCHAR,
  "location" VARCHAR,
  "rate_per_sqft" DOUBLE,
  "bedroom" BIGINT,
  "carpet_area_sqft" DOUBLE,
  "total_area" DOUBLE
);